A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area
- DOI
- 10.3390/app10082928
- Published
- 2020-04-23
- Container
- Applied Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/app10082928,
title = {A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area},
author = {Rui Zhang and Xinming Tang and Shucheng You and Kaifeng Duan and Haiyan Xiang and Hongxia Luo},
year = {2020},
journal = {Applied Sciences},
doi = {10.3390/app10082928},
url = {https://doi.org/10.3390/app10082928}
}RIS
TY - JOUR TI - A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area AU - Rui Zhang AU - Xinming Tang AU - Shucheng You AU - Kaifeng Duan AU - Haiyan Xiang AU - Hongxia Luo PY - 2020 JO - Applied Sciences DO - 10.3390/app10082928 UR - https://doi.org/10.3390/app10082928 ER -
APA
Zhang, R., Tang, X., You, S., Duan, K., Xiang, H., & Luo, H. (2020). A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area. Applied Sciences. https://doi.org/10.3390/app10082928
Source records
- crossref · retrieved 2026-09-25T14:53:03.837Z